In this module, you will consider the 2023 landslide in Grenada and the importance of proactive hazard mapping. You will explore a landslide hazard maps to prioritize projects and aid emergency responses. You will also learn how remote sensing data plays a crucial role in mapping, using the electromagnetic spectrum, resolutions for detailed observations, and methods of classifying extracted data using GeoAI algorithms. There are important ethical considerations in hazard assessment and use of GeoAI tools. Watch the following video to get started.
The artificial intelligence (AI) market share in manufacturing industry is expected to increase by USD 7.87 billion from 2020 to 2025, and the market’s growth momentum will accelerate at a CAGR of 28%.
This artificial intelligence (AI) market in manufacturing industry research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers artificial intelligence (AI) market in manufacturing industry segmentations by application (predictive maintenance and machine inspection, production planning, quality control, and others) and geography (APAC, North America, Europe, South America, and MEA). The artificial intelligence (AI) market in manufacturing industry report also offers information on several market vendors, including Alphabet inc., General Electric Co., intel Corp., Landing ai, Microsoft Corp., Oracle Corp., SAP SE, Siemens AG, international Business Machines Corp., and Amazon Web Services inc. among others.
What will the Artificial Intelligence (AI) Market Size in Manufacturing Industry be During the Forecast Period?
Download Report Sample to Unlock the Artificial Intelligence (AI) Market Size in Manufacturing Industry for the Forecast Period and Other Important Statistics
Significantly, many companies are already investing in the France artificial intelligence (AI) in manufacturing and supply chain activities.
Artificial Intelligence (AI) Market in Manufacturing Industry: Key Drivers, Trends, and Challenges
The demand for automation to improve productivity is notably driving the artificial intelligence (AI) market growth in manufacturing industry, although factors such as integration challenges may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the artificial intelligence (AI) industry in manufacturing. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.
This artificial intelligence (AI) market in manufacturing industry analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2021-2025.
Who are the Major Artificial Intelligence (AI) Market Vendors in Manufacturing Industry?
The report analyzes the market’s competitive landscape and offers information on several market vendors, including:
Alphabet inc.
General Electric Co.
intel Corp.
Landing ai
Microsoft Corp.
Oracle Corp.
SAP SE
Siemens AG
international Business Machines Corp.
Amazon Web Services inc.
This statistical study of the artificial intelligence (AI) market in manufacturing industry encompasses successful business strategies deployed by the key vendors. The artificial intelligence (AI) market in manufacturing industry is fragmented and the vendors are deploying organic and inorganic growth strategies to compete in the market.
Product Insights and News
Alphabet Inc. - The company offers Artificial Intelligence (AI) to products and to new domains, and developing tools to ensure that everyone can access AI.
To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.
The artificial intelligence (AI) market in manufacturing industry forecast report offers in-depth insights into key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.
Artificial Intelligence (AI) Market in Manufacturing Industry Value Chain Analysis
Our report provides extensive information on the value chain analysis for the artificial intelligence (AI) market in manufacturing industry, which vendors can leverage to gain a competitive advantage during the forecast period. The end-to-end understanding of the value chain is essential in profit margin optimization and evaluation of business strategies. The data available in our value chain analysis segment can help vendors drive costs and enhance customer services during the forecast period.
Which are the Key Regions for Artificial Intelligence (AI) Market in Manufacturing industry?
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38% of the market’s growth will originate from APAC during the forecast period. China and Japan are the key markets for the artificial intelligence (AI) market in manufacturing industry in APAC. Market growth in this region will be faster than the growth of the market in other regions. This market research report enta
The artificial intelligence (AI) market in agriculture market share is expected to increase by USD 458.68 million from 2020 to 2025, and the market’s growth momentum will accelerate at a CAGR of 23.34%.
This artificial intelligence (AI) market in agriculture market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers artificial intelligence (AI) market in agriculture market segmentations by application (robotics, crop and soil management, and animal husbandry) and geography (North America, Europe, APAC, South America, and MEA). The artificial intelligence (AI) market in agriculture market report also offers information on several market vendors, including Ag Leader Technology, aWhere Inc., Corteva Inc., Deere & Co., DTN LLC, GAMAYA, International Business Machines Corp., Microsoft Corp., Raven Industries Inc., and Trimble Inc. among others.
What will the Artificial Intelligence (AI) Market In Agriculture Market Size be During the Forecast Period?
Download the Free Report Sample to Unlock the Artificial Intelligence (AI) Market in Agriculture Market Size for the Forecast Period and Other Important Statistics
Artificial Intelligence (AI) Market In Agriculture Market: Key Drivers, Trends, and Challenges
Maximizing profits in farm operations is notably driving the artificial intelligence (AI) market in agriculture market growth, although factors such as technical difficulties in developing AI technologies may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the artificial intelligence (AI) market in the agriculture market industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.
Key Artificial Intelligence (AI) Market In Agriculture Market Driver
Maximizing profits in farm operations is a major driver fueling the artificial intelligence market in agriculture market growth. To increase profits in farm operations, the yield and output of crops and animals must be maximized, respectively. AI technology incorporated in the form of robots, drones, crop management systems, and herd management tools enables farms to monitor and regulate remote operations and provide logical data to analyze several aspects of an agriculture farm. Smart or precision agriculture is rapidly emerging as a technology that will help farmers to enhance the deliverables in agriculture. With AI technologies on the rise, farmers can control and monitor the equipment, crop, and livestock through their smartphones and also receive statistical predictions for crops and livestock. Smart sensors, satellite imagery, and other cloud-based technologies are highly beneficial to observe and record data during crop planting and harvesting, thereby maximizing production output and minimizing the cost of resources wasted. In animal husbandry, advanced AI technologies, through sensors and visual imaging, can quickly analyze the health and physical well-being of a particular animal and flag deviations in case of any disease or ailment. In this way, the animal can be treated in due course of time without spreading the infection to other animals. Such timely monitoring also saves money, as the farmers need not wait for any symptom to arise in detecting abnormal animal health and take minor precautionary steps to induce recovery in the affected animal.
Key Artificial Intelligence (AI) Market In Agriculture Market Trend
Maximizing profits in farm operations is a major trend influencing the artificial intelligence market in agriculture market growth. To increase profits in farm operations, the yield and output of crops and animals must be maximized, respectively. AI technology incorporated in the form of robots, drones, crop management systems, and herd management tools enable farms to monitor and regulate remote operations and provide logical data to analyze several aspects of an agriculture farm. Smart or precision agriculture is rapidly emerging as a technology that will help farmers to enhance the deliverables in agriculture. With AI technologies on the rise, farmers can control and monitor the equipment, crop, and livestock through their smartphones and also receive statistical predictions for crops and livestock. Smart sensors, satellite imagery, and other cloud-based technologies are highly beneficial to observe and record data during crop planting and harvesting, thereby maximizing production output and minimizing the cost of resources wasted. In animal husbandry, advanced AI technologies, through sensors and visual imaging, can quickly analyze the health and physical well-being of a particular animal and flag deviations in case of any disease or ailment. I
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In this module, you will consider the 2023 landslide in Grenada and the importance of proactive hazard mapping. You will explore a landslide hazard maps to prioritize projects and aid emergency responses. You will also learn how remote sensing data plays a crucial role in mapping, using the electromagnetic spectrum, resolutions for detailed observations, and methods of classifying extracted data using GeoAI algorithms. There are important ethical considerations in hazard assessment and use of GeoAI tools. Watch the following video to get started.